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Hello and good afternoon, everyone. Welcome to today's session, "Optimizing Storage Price and Performance with Amazon S3." My name is Andrew Coetzee. I'm a product manager with S3. I'm here with Carl

All right, welcome to rain event guys. Thank you so much for showing up. You all must love data protection and resiliency very much to be here, bright and awake early in the morning. So thank you for

这段视频探讨了亚马逊的SageMaker Canvas如何协助缺乏机器学习专业知识的商业用户在数据驱动决策方面取得进展。丹尼·史密斯展示了一个案例研究，讲述了制造质量工程师如何运用Canvas分析传感器数据并对产品质量故障进行预测。主要流程包括导入和探索数据、挑选需要预测的目标列、试运行预览模型、用自动化ML训练完整的模型、评估模型准确度、了解特征的重要性、对新数据进行预测以及与数据科学家分享模型

这段视频探讨了亚马逊的SageMaker Canvas如何协助缺乏机器学习专业知识的商业用户在数据驱动决策方面取得进展。丹尼·史密斯展示了一个案例研究，讲述了制造质量工程师如何运用Canvas分析传感器数据并对产品质量故障进行预测。主要流程包括导入和探索数据、挑选需要预测的目标列、试运行预览模型、用自动化ML训练完整的模型、评估模型准确度、了解特征的重要性、对新数据进行预测以及与数据科学家分享模型

my name is romita. i uh i am a product manager in sage maker and today i'm going to be talking about how to improve foundational models with human foundation models with human loop with my colleagues,